Docker provides tools for building and running containerized applications. The Docker Engine manages Docker objects like images, containers, networks and volumes. Docker Desktop is for Mac/Windows and includes Docker Engine and other tools. Docker Compose defines multi-container apps. Docker Hub is a public registry and Docker Swarm manages clusters of Docker Engines.
Introduction to Docker presented by MANAOUIL Karim at the Shellmates's Hack.INI event. The teams deployed were assisted to deploy a Python Flask application behind an Nginx load balancer.
Docker allows users to package applications with all their dependencies into standardized units called containers that can run on any Linux server. Containers are more lightweight than virtual machines because they share the host operating system and only require the additional libraries and binaries needed to run the application rather than a full guest operating system. Docker uses containers and an image format to deploy applications in a consistent manner across development, testing, and production. The document provides examples of how to define a Dockerfile to build an image, run containers from images using docker-compose, and common Docker commands.
Docker allows applications to be packaged with all their dependencies and run consistently across computing environments. It provides isolation, security and portability for applications. This document discusses setting up an Eh Avatar application to run in Docker containers for Postgres, Redis and the application itself. It covers bringing up the dependency containers, building a custom Docker image for the application, and using Docker Compose to define and run the multi-container application. While this provides an introduction, there is still more to learn about optimizing Docker usage and avoiding common pitfalls.
Docker 101 is a series of workshops that aims to help developers (or interested people) to get started with docker.
The workshop 101 is were the audience has the first contact with docker, from installation to manage multiple containers.
- Installing docker
- managing images (docker rmi, docker pull)
- basic commands (docker info, docker ps, docker images, docker run, docker commit, docker inspect, docker exec, docker diff, docker stop, docker start)
- Docker registry
- container life cycle (running, paused, stopped, restarted)
- Dockerfile
Docker is a platform for building, shipping and running applications. It provides lightweight virtual containers that allow applications to run consistently regardless of environment. Key Docker concepts include images, containers, Docker Engine and tools like Docker Compose and Docker Machine. The document then provides steps for setting up WordPress and Laravel projects using Docker, including using Docker Compose to define services and Docker Machine to provision and manage Docker hosts.
Shipping Applications to Production in Containers with DockerJérôme Petazzoni
This document provides an overview and introduction to using Docker in production environments. It discusses how Docker can help with "solved" problems like installing, building, and distributing applications. It also covers important areas for production Docker usage, such as service discovery, orchestration, performance, configuration management, and sysadmin tasks. The document outlines various approaches in each area and notes that there are often multiple valid solutions to consider.
Docker provides tools for building and running containerized applications. The Docker Engine manages Docker objects like images, containers, networks and volumes. Docker Desktop is for Mac/Windows and includes Docker Engine and other tools. Docker Compose defines multi-container apps. Docker Hub is a public registry and Docker Swarm manages clusters of Docker Engines.
Introduction to Docker presented by MANAOUIL Karim at the Shellmates's Hack.INI event. The teams deployed were assisted to deploy a Python Flask application behind an Nginx load balancer.
Docker allows users to package applications with all their dependencies into standardized units called containers that can run on any Linux server. Containers are more lightweight than virtual machines because they share the host operating system and only require the additional libraries and binaries needed to run the application rather than a full guest operating system. Docker uses containers and an image format to deploy applications in a consistent manner across development, testing, and production. The document provides examples of how to define a Dockerfile to build an image, run containers from images using docker-compose, and common Docker commands.
Docker allows applications to be packaged with all their dependencies and run consistently across computing environments. It provides isolation, security and portability for applications. This document discusses setting up an Eh Avatar application to run in Docker containers for Postgres, Redis and the application itself. It covers bringing up the dependency containers, building a custom Docker image for the application, and using Docker Compose to define and run the multi-container application. While this provides an introduction, there is still more to learn about optimizing Docker usage and avoiding common pitfalls.
Docker 101 is a series of workshops that aims to help developers (or interested people) to get started with docker.
The workshop 101 is were the audience has the first contact with docker, from installation to manage multiple containers.
- Installing docker
- managing images (docker rmi, docker pull)
- basic commands (docker info, docker ps, docker images, docker run, docker commit, docker inspect, docker exec, docker diff, docker stop, docker start)
- Docker registry
- container life cycle (running, paused, stopped, restarted)
- Dockerfile
Docker is a platform for building, shipping and running applications. It provides lightweight virtual containers that allow applications to run consistently regardless of environment. Key Docker concepts include images, containers, Docker Engine and tools like Docker Compose and Docker Machine. The document then provides steps for setting up WordPress and Laravel projects using Docker, including using Docker Compose to define services and Docker Machine to provision and manage Docker hosts.
Shipping Applications to Production in Containers with DockerJérôme Petazzoni
This document provides an overview and introduction to using Docker in production environments. It discusses how Docker can help with "solved" problems like installing, building, and distributing applications. It also covers important areas for production Docker usage, such as service discovery, orchestration, performance, configuration management, and sysadmin tasks. The document outlines various approaches in each area and notes that there are often multiple valid solutions to consider.
Dockerizing your applications - Docker workshop @TwitterdotCloud
This document discusses how to dockerize desktop applications like Firefox by running them in Docker containers with access to the host desktop, audio devices, and data volumes. It provides instructions for downloading Docker and example Dockerfiles, building images, and running Firefox in both ephemeral and stateful containers with various volume mounting techniques to access files on the host or in data containers.
This document discusses how to easily run Docker containers on Microsoft Azure virtual machines. It outlines two main principles: simplify the Docker setup process and automate tasks. The Docker Extension for Azure automatically installs Docker on new VMs, allowing containers to be deployed and managed entirely from the Docker client without needing direct access to the underlying VM.
Docker has created enormous buzz in the last few years. Docker is a open-source software containerization platform. It provides an ability to package software into standardised units on Docker for software development. In this hands-on introductory session, I introduce the concept of containers, provide an overview of Docker, and take the participants through the steps for installing Docker. The main session involves using Docker CLI (Command Line Interface) - all the concepts such as images, managing containers, and getting useful work done is illustrated step-by-step by running commands.
Docker is a tool that allows users to package applications into containers to run on Linux servers. Containers provide isolation and resource sharing benefits compared to virtual machines. Docker simplifies deployment of containers by adding images, repositories and version control. Popular components include Dockerfiles to build images, Docker Hub for sharing images, and Docker Compose for defining multi-container apps. Docker has gained widespread adoption due to reducing complexity of managing containers across development and operations teams.
Docker allows you to package applications with their dependencies into standardized units called containers that can run on any Linux server. Containers are more portable and efficient than virtual machines, starting in milliseconds and using less disk space. Docker makes it easy to deploy and run applications without having to rebuild environments and guarantees that an application will run the same regardless of the infrastructure it is running on.
The document introduces Docker, a container platform. It discusses how Docker addresses issues with deploying different PHP projects that have varying version requirements by allowing each project to run isolated in its own container with specified dependencies. It then covers key Docker concepts like images, containers, linking, exposing ports, volumes, and Dockerfiles. The document highlights advantages of Docker like enabling applications to run anywhere without compatibility issues and making deployment more efficient.
This document provides an introduction and overview of Docker. It discusses why Docker is useful for isolation, simplicity, and workflow. It also covers the Docker platform, including the Docker engine, images, containers, and networking. Key components are the Docker daemon, Docker CLI, and Docker Hub registry. Demos are provided on installing Docker and using Docker for building images, running containers with volumes, and configuring Docker networking.
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
This document provides an overview of Docker and the author's experience. It discusses key Docker concepts like images, containers, the Dockerfile and Docker Engine. It also summarizes Docker benefits like portability, scalability and efficiency. Components like Docker Hub, Docker Machine and orchestration tools are briefly introduced. Security considerations and using Docker in production are also mentioned.
MIT Licensed - Reuse freely, but attribute "Hamilton Turner"
An introduction to the Docker container engine. Focuses on how to use Docker and implications of Docker for Cloud-based services. Shows multiple examples of rapidly starting complex environments using Docker. Very minor discussion on how Docker works technically.
Presentation source is available at https://github.com/hamiltont/intro-to-docker
This document discusses Docker integration with OpenStack. It summarizes that the Docker driver for Nova was accepted in Havana, the Docker plugin for Heat was accepted for Icehouse, and Docker support was added to Devstack. It also discusses running the Tempest test suite in a Docker container to test an OpenStack install provisioned by Devstack. The document provides examples of building a Docker image containing Devstack and running it, as well as applying Heat orchestration to launch a compute instance and Docker container.
The document discusses the architecture of Docker, including its core components like Docker Engine, Docker Hub, Docker Machine, Docker Compose, Kitematic, Docker Swarm, and Docker Registry. Docker Engine runs on Linux to build and run containers. Docker Hub is a hosted registry service for managing images. Docker Machine sets up Docker Engine on computers and in data centers. Docker Compose defines multi-container applications in a single file. Kitematic provides a GUI for building and running containers. Docker Swarm turns Docker engines into a clustered virtual engine. Docker Registry stores and distributes Docker images.
Gives a brief introduction of the emerging containerization technology, the difference in traditional VMs and Conatiners and the most popular one- Docker
- The document summarizes a meetup on Docker held in Paris on February 10, 2013. It provides an introduction to Docker including its origins at dotCloud, timeline of development, and basic functionality using Linux containers, control groups, and AUFS.
- The presentation covers installing Docker, basic commands like running "hello world" examples, managing containers vs images, and demonstrates a simple app deployment using Docker for local development and pushing changes to production.
- Questions from attendees are solicited at the end to discuss Docker further.
Overview of how containers are implemented with cgroups, namespaces and UnionFS, how images are created, how images and containers are related to one another, and how to build effective images
Docker is a tool that makes it easier to use Linux containers (LXC) to deploy applications. It allows applications to run consistently across servers by including dependencies within containers. Containers are more lightweight than virtual machines and use less resources. Docker containers start faster than VMs and allow for easy sharing of application components. The Docker registry stores container images and metadata for easy sharing between developers and production environments.
DCA. certificate slide
Docker Certifications validate technical knowledge with an industry-recognized credential. Our certifications recognize technical skills on the Docker platform.
Q: How do I become Certified?
You must earn a passing score via a proctored exam to earn a Docker Certification. Upon receiving a passing score, you will receive your certification credentials.
While the Docker Certified Associate certification is designed for enterprise practitioners leveraging the Docker Enterprise Edition (EE) platform in production you will find that many of the topics covered in this foundational certification are also applicable to the freely available Docker Community Edition (CE) due to it's similarity to Docker EE Basic Familiarity with Docker CE is certainly a strong asset and would contribute towards an individual's success on the exam. You can find more information about exactly what topics are covered on the exam in the Study Guide.
This document discusses Docker, a platform for developers and sysadmins to develop, ship, and run applications. It covers Docker concepts like images and containers, compares Docker to Vagrant, and provides examples of using Docker for local development environments, continuous integration testing, and automated deployment in a PaaS model.
Docker as a Multitool: DevOps with Docker at Azure Bootcamp Linz 2017Usersnap
Docker is an open source tool for running isolated containers on Linux making the deployment of apps inside containers faster. Docker creates portable, self-sufficient containers from any application.
Since Docker's first release in 2013, containers are getting fancier (again). And since containers are particularly popular for web apps, Martin Sereinig shows us how Usersnap uses Docker.
Dockerizing your applications - Docker workshop @TwitterdotCloud
This document discusses how to dockerize desktop applications like Firefox by running them in Docker containers with access to the host desktop, audio devices, and data volumes. It provides instructions for downloading Docker and example Dockerfiles, building images, and running Firefox in both ephemeral and stateful containers with various volume mounting techniques to access files on the host or in data containers.
This document discusses how to easily run Docker containers on Microsoft Azure virtual machines. It outlines two main principles: simplify the Docker setup process and automate tasks. The Docker Extension for Azure automatically installs Docker on new VMs, allowing containers to be deployed and managed entirely from the Docker client without needing direct access to the underlying VM.
Docker has created enormous buzz in the last few years. Docker is a open-source software containerization platform. It provides an ability to package software into standardised units on Docker for software development. In this hands-on introductory session, I introduce the concept of containers, provide an overview of Docker, and take the participants through the steps for installing Docker. The main session involves using Docker CLI (Command Line Interface) - all the concepts such as images, managing containers, and getting useful work done is illustrated step-by-step by running commands.
Docker is a tool that allows users to package applications into containers to run on Linux servers. Containers provide isolation and resource sharing benefits compared to virtual machines. Docker simplifies deployment of containers by adding images, repositories and version control. Popular components include Dockerfiles to build images, Docker Hub for sharing images, and Docker Compose for defining multi-container apps. Docker has gained widespread adoption due to reducing complexity of managing containers across development and operations teams.
Docker allows you to package applications with their dependencies into standardized units called containers that can run on any Linux server. Containers are more portable and efficient than virtual machines, starting in milliseconds and using less disk space. Docker makes it easy to deploy and run applications without having to rebuild environments and guarantees that an application will run the same regardless of the infrastructure it is running on.
The document introduces Docker, a container platform. It discusses how Docker addresses issues with deploying different PHP projects that have varying version requirements by allowing each project to run isolated in its own container with specified dependencies. It then covers key Docker concepts like images, containers, linking, exposing ports, volumes, and Dockerfiles. The document highlights advantages of Docker like enabling applications to run anywhere without compatibility issues and making deployment more efficient.
This document provides an introduction and overview of Docker. It discusses why Docker is useful for isolation, simplicity, and workflow. It also covers the Docker platform, including the Docker engine, images, containers, and networking. Key components are the Docker daemon, Docker CLI, and Docker Hub registry. Demos are provided on installing Docker and using Docker for building images, running containers with volumes, and configuring Docker networking.
This document provides an introduction to Docker. It discusses why Docker is useful for isolation, being lightweight, simplicity, workflow, and community. It describes the Docker engine, daemon, and CLI. It explains how Docker Hub provides image storage and automated builds. It outlines the Docker installation process and common workflows like finding images, pulling, running, stopping, and removing containers and images. It promotes Docker for building local images and using host volumes.
This document provides an overview of Docker and the author's experience. It discusses key Docker concepts like images, containers, the Dockerfile and Docker Engine. It also summarizes Docker benefits like portability, scalability and efficiency. Components like Docker Hub, Docker Machine and orchestration tools are briefly introduced. Security considerations and using Docker in production are also mentioned.
MIT Licensed - Reuse freely, but attribute "Hamilton Turner"
An introduction to the Docker container engine. Focuses on how to use Docker and implications of Docker for Cloud-based services. Shows multiple examples of rapidly starting complex environments using Docker. Very minor discussion on how Docker works technically.
Presentation source is available at https://github.com/hamiltont/intro-to-docker
This document discusses Docker integration with OpenStack. It summarizes that the Docker driver for Nova was accepted in Havana, the Docker plugin for Heat was accepted for Icehouse, and Docker support was added to Devstack. It also discusses running the Tempest test suite in a Docker container to test an OpenStack install provisioned by Devstack. The document provides examples of building a Docker image containing Devstack and running it, as well as applying Heat orchestration to launch a compute instance and Docker container.
The document discusses the architecture of Docker, including its core components like Docker Engine, Docker Hub, Docker Machine, Docker Compose, Kitematic, Docker Swarm, and Docker Registry. Docker Engine runs on Linux to build and run containers. Docker Hub is a hosted registry service for managing images. Docker Machine sets up Docker Engine on computers and in data centers. Docker Compose defines multi-container applications in a single file. Kitematic provides a GUI for building and running containers. Docker Swarm turns Docker engines into a clustered virtual engine. Docker Registry stores and distributes Docker images.
Gives a brief introduction of the emerging containerization technology, the difference in traditional VMs and Conatiners and the most popular one- Docker
- The document summarizes a meetup on Docker held in Paris on February 10, 2013. It provides an introduction to Docker including its origins at dotCloud, timeline of development, and basic functionality using Linux containers, control groups, and AUFS.
- The presentation covers installing Docker, basic commands like running "hello world" examples, managing containers vs images, and demonstrates a simple app deployment using Docker for local development and pushing changes to production.
- Questions from attendees are solicited at the end to discuss Docker further.
Overview of how containers are implemented with cgroups, namespaces and UnionFS, how images are created, how images and containers are related to one another, and how to build effective images
Docker is a tool that makes it easier to use Linux containers (LXC) to deploy applications. It allows applications to run consistently across servers by including dependencies within containers. Containers are more lightweight than virtual machines and use less resources. Docker containers start faster than VMs and allow for easy sharing of application components. The Docker registry stores container images and metadata for easy sharing between developers and production environments.
DCA. certificate slide
Docker Certifications validate technical knowledge with an industry-recognized credential. Our certifications recognize technical skills on the Docker platform.
Q: How do I become Certified?
You must earn a passing score via a proctored exam to earn a Docker Certification. Upon receiving a passing score, you will receive your certification credentials.
While the Docker Certified Associate certification is designed for enterprise practitioners leveraging the Docker Enterprise Edition (EE) platform in production you will find that many of the topics covered in this foundational certification are also applicable to the freely available Docker Community Edition (CE) due to it's similarity to Docker EE Basic Familiarity with Docker CE is certainly a strong asset and would contribute towards an individual's success on the exam. You can find more information about exactly what topics are covered on the exam in the Study Guide.
This document discusses Docker, a platform for developers and sysadmins to develop, ship, and run applications. It covers Docker concepts like images and containers, compares Docker to Vagrant, and provides examples of using Docker for local development environments, continuous integration testing, and automated deployment in a PaaS model.
Docker as a Multitool: DevOps with Docker at Azure Bootcamp Linz 2017Usersnap
Docker is an open source tool for running isolated containers on Linux making the deployment of apps inside containers faster. Docker creates portable, self-sufficient containers from any application.
Since Docker's first release in 2013, containers are getting fancier (again). And since containers are particularly popular for web apps, Martin Sereinig shows us how Usersnap uses Docker.
Introduction to Docker. Brief history of how software has been deployed over the years. From bare metal, to virtual machines, and finally to containers.
Docker allows packaging applications with dependencies into standardized units called containers. Containers share the operating system kernel and use layered filesystems, making them lightweight and efficient. Docker is based on open standards and supports all major operating systems, providing portability. Common tools include Docker Engine, Docker Client, Docker Compose, Docker Machine, and Docker Swarm for clustering. Docker simplifies development workflows by allowing applications to always run the same regardless of environment.
The document provides an overview and agenda for Docker in Action. It discusses key Docker concepts like images and containers, the Docker architecture involving clients, daemons and registries, and daily Docker operations like building new images, deploying code updates, and viewing logs. Installation instructions are also included for Windows, Linux and macOS.
This document discusses using Docker containers to improve the software testing and delivery process. It outlines challenges with traditional testing approaches like slow deployments and ineffective tests. Docker containers provide a standardized and portable way to run tests quickly by packaging an application and its dependencies. The document demonstrates building test containers, running tests inside containers, and using Docker Compose to test multi-container applications. Best practices like one process per container and shipping images not code are also covered. Overall, Docker containers can help speed up testing, improve test quality, and enable continuous integration and delivery workflows.
Docker: A New Way to Turbocharging Your Apps Developmentmsyukor
Docker is a platform for developing, shipping, and running applications. It provides containers that package applications and dependencies together allowing them to run seamlessly on any infrastructure. The document discusses Docker concepts like containers, images, and the Docker ecosystem. It also provides examples of using Docker with various applications and frameworks like PHP, Java, .NET, Nginx, and Apache. Managing Docker containers at scale can be done with tools like Kubernetes, Docker Datacenter, Rancher, and Prometheus for monitoring.
Dockers & kubernetes detailed - Beginners to GeekwiTTyMinds1
Docker is a platform for building, distributing and running containerized applications. It allows applications to be bundled with their dependencies and run in isolated containers that share the same operating system kernel. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups Docker containers that make up an application into logical units for easy management and discovery. Docker Swarm is a native clustering tool that can orchestrate and schedule containers on machine clusters. It allows Docker containers to run as a cluster on multiple Docker hosts.
This document discusses Docker, including what it is, why it is useful, and how it can be used at different stages of development and deployment. Docker allows packaging applications and dependencies into standardized containers that can run on any infrastructure. It helps manage different environments, platforms and targets. The document outlines Docker tools like Docker Engine, Docker Compose, Docker Machine and Swarm that can be used for local development, CI/testing, and production deployment of containerized applications.
Docker is a platform for developers and sysadmins to develop, ship, and run applications using containers. It allows building applications from components and eliminates friction when shipping code, allowing code to be tested and deployed to production quickly. Docker consists of the Docker Engine for building and running containers and Docker Hub for sharing container images. The document then discusses containers on Windows, how Docker works, building and running container images locally and remotely, Microsoft tools for working with Docker, and deploying multi-container applications on platforms like DC/OS Swarm and Kubernetes.
The document provides an overview of using Docker to install and run Oracle WebLogic 12c. It describes Docker's components and benefits, how to install Docker on RHEL, and the steps to build a WebLogic 12c Docker image and deploy containers. These include using Oracle's Dockerfiles from GitHub to build custom WebLogic images, deploying the Admin server container, and verifying the installation at the specified port. The goal is to demonstrate Dockerizing WebLogic and spread DevOps practices.
The Docker Toolbox installs several components to allow users to run Docker on their Mac systems without running a Linux VM directly. It includes the Docker client, Docker Machine, Docker Compose, Docker Kitematic, and Oracle VirtualBox. Docker Machine is used to create and connect to a lightweight Linux VM hosted by VirtualBox where the Docker daemon runs. This allows users to work with Docker images and containers without having to manage a separate Linux environment.
The slides talk about Docker and container terminologies but will also be able to see the big picture of where & how it fits into your current project/domain.
Topics that are covered:
1. What is Docker Technology?
2. Why Docker/Containers are important for your company?
3. What are its various features and use cases?
4. How to get started with Docker containers.
5. Case studies from various domains
The document discusses Docker and compares it to using Vagrant and VirtualBox for development environments. It provides instructions for setting up a Rails application using Docker, including creating a Dockerfile and docker-compose.yml file. It also describes common Docker commands like docker-compose up to run the application and docker-compose run to execute commands in the container.
This document provides an overview of Docker and instructions for installing and using Docker. It discusses what Docker is, the main Docker tools, how to install Docker on different operating systems, and common Docker commands for pulling images, running containers, linking containers, building images with Dockerfiles, and more. The goal is to teach the reader how to containerize a web application using Docker.
What is this Docker and Microservice thing that everyone is talking about? A primer to Docker and Microservice and how the two concepts complement each other.
A brief introduction to Docker Container technology done at Gurgaon Docker Container Meetup on 30-Jan-2016.
Includes command to launch a simple 2 container linked application that hosts a Etherlite web application.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
2. DOCKER
WHAT IS DOCKER?
▸Simplify building, shipping and running apps
▸Open and secure platform
▸Run on Windows, Linux and Mac
▸Relies on “Images” and “Containers”
WHAT ARE
IMAGES AND
CONTAINERS ?
3. DOCKER
Docker Image
▸A read only template
composed of layered
filesystems used to share
common files and create
Docker container instances
Docker Container
▸An isolated and secured
shipping container created
from an image that can be
run, started, stopped, moved
and deleted
DOCKER IMAGE VS CONTAINER
11. DOCKER
▸Define and Run multi-container
Docker applications
▸Uses a YAML file to configure your
application’s services.
▸With a single command, can create
and start all the services from your
configuration.
DOCKER MACHINE
DOCKER CLIENT
DOCKER
COMPOSE
DOCKER COMPOSE